pretrained weight

Learning from Oblivion: Predicting Knowledge-Overflowed Weights via Retrodiction of Forgetting CVPR 2026 Unlocking Pre-trained Weights: Parameter Inheritance for Zero-Shot Initialization CVPR 2026 EG-ENAS: Efficient and Generalizable Evolutionary Neural Architecture Search for Image Classification AutoML 2025 ModRWKV: Transformer Multimodality in Linear Time EMNLP 2025 PMSS: Pretrained Matrices Skeleton Selection for LLM Fine-tuning COLING 2025 WeGeFT: Weight-Generative Fine-Tuning for Multi-Faceted Efficient Adaptation of Large Models ICML 2025 DataFreeShield: Defending Adversarial Attacks without Training Data ICML 2024 Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs “Difficult" Downstream Tasks in LLMs ICML 2024 TFECN: Time-Frequency Enhanced ConvNet for Audio Classification Interspeech 2023 AudioTagging Done Right: 2nd comparison of deep learning methods for environmental sound classification Interspeech 2022 In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? NeurIPS 2022 Self-Supervised Shape Alignment for Sports Field Registration WACV 2022 Training speaker recognition systems with limited data Interspeech 2022 A Theoretical Analysis of Fine-tuning with Linear Teachers NeurIPS 2021 GAIA: A Transfer Learning System of Object Detection That Fits Your Needs CVPR 2021 What is being transferred in transfer learning? NeurIPS 2020